Clinical applicability of automated cephalometric landmark identification: Part I-Patient-related identification errors.
Chihiro TanikawaChonho LeeJaeyoen LimAyaka OkaTakashi YamashiroPublished in: Orthodontics & craniofacial research (2021)
Artificial intelligence systems that recognize cephalometric landmarks could be applied to various patient groups. Patient-oriented errors were found in patients with cleft lip and/or palate.